A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.
In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...
Abstract: Recent advances in deep learning have dramatically improved the performance of content-based remote sensing image retrieval (CBRSIR) with the same distribution of training set (source domain ...
Abstract: The approach of directly combining clustering method and reinforcement learning (RL) will lead to encounter the issue where states may have different state transition processes under the ...
Language-generation algorithms are known to embed racist and sexist ideas. They’re trained on the language of the internet, including the dark corners of Reddit and Twitter that may include hate ...
Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are ...
New technologies are playing a fundamental role in directing where businesses are going and, to some extent, in determining how the future is shaping up. As part of our recent work, my fellow ...
In recent articles I have looked at some of the terminology being used to describe high-level Artificial Intelligence concepts – specifically machine learning and deep learning. In this piece, I want ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results